iPhone 11 Pro
Geekbench AI Score
1181
Single Precision Score
3529
Half Precision Score
1442
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | bobolopolis |
| Upload Date | August 16 2024 12:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
2676
497.7 IPS |
|
|
Image Classification (Q)
|
99% |
2675
498.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
100% |
499
8.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
3365
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
27825
32.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
3324
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (Q)
|
94% |
289
23.0 IPS |
|
|
Face Detection (SP)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
6969
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
422
5.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
2028
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23107
178.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
23611
182.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5784
7.44 IPS |
|
|
Style Transfer (HP)
|
100% |
11401
14.7 IPS |
|
|
Style Transfer (Q)
|
100% |
11405
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4387
162.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
688
917.8 IPS |
|
|
Text Classification (HP)
|
100% |
431
575.5 IPS |
|
|
Text Classification (Q)
|
93% |
428
574.1 IPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
994
17.2 IPS |
